| | ---
|
| | annotations_creators:
|
| | - automated
|
| | language:
|
| | - en
|
| | license:
|
| | - mit
|
| | task_categories:
|
| | - time-series-forecasting
|
| | - reinforcement-learning
|
| | tags:
|
| | - finance
|
| | - stock-market
|
| | - technical-analysis
|
| | - yfinance
|
| | size_categories:
|
| | - 10K<n<100K
|
| | ---
|
| |
|
| | # π Multi-Agent RL Trading System - Dataset
|
| |
|
| | This dataset contains historical OHLCV (Open, High, Low, Close, Volume) data for **AAPL**, **MSFT**, and **GOOGL**, pre-processed for Reinforcement Learning based trading systems.
|
| |
|
| | ## π Dataset Content
|
| |
|
| | The dataset consists of CSV files downloaded via `yfinance`:
|
| | * `AAPL.csv`: Apple Inc. daily data (Jan 2018 - Dec 2024).
|
| | * `MSFT.csv`: Microsoft Corp. daily data (Jan 2018 - Dec 2024).
|
| | * `GOOGL.csv`: Alphabet Inc. daily data (Jan 2018 - Dec 2024).
|
| |
|
| | ## π Columns
|
| |
|
| | | Column | Description |
|
| | | :--- | :--- |
|
| | | **Date** | Trading date (YYYY-MM-DD) |
|
| | | **Open** | Opening price |
|
| | | **High** | Highest price of the day |
|
| | | **Low** | Lowest price of the day |
|
| | | **Close** | Closing price (Adjusted for splits/dividends) |
|
| | | **Volume** | Number of shares traded |
|
| |
|
| | ## βοΈ Usage
|
| |
|
| | This data is designed to be fed into a Feature Engineering pipeline (calculating RSI, MACD, etc.) before being used by the `TradingEnv`.
|
| |
|
| | ```python
|
| | import pandas as pd
|
| |
|
| | # Load data
|
| | df = pd.read_csv("AAPL.csv", parse_dates=['Date'], index_col='Date')
|
| | print(df.head())
|
| | ```
|
| |
|
| | ## π Related Models
|
| |
|
| | * **Trained Agents**: [AdityaaXD/Multi-Agent_Reinforcement_Learning_Trading_System_Models](https://huggingface.co/AdityaaXD/Multi-Agent_Reinforcement_Learning_Trading_System_Models)
|
| | * **GitHub Repository**: [ADITYA-tp01/Multi-Agent-Reinforcement-Learning-Trading-System-Data](https://github.com/ADITYA-tp01/Multi-Agent-Reinforcement-Learning-Trading-System-Data)
|
| |
|
| |
|
| | ## β οΈ Source
|
| |
|
| | Data was sourced from Yahoo Finance API. Not intended for real financial advice or live trading decisions.
|
| |
|
| | ## π οΈ Credits
|
| |
|
| | Collected by **Adityaraj Suman** for the Multi-Agent RL Trading System project.
|
| |
|